Node.js + Gemini

examples/node-gemini shows how to record a Gemini generateContent call and save the session to disk.

Setup

cd examples/node-gemini
cp .env.example .env.local

Add your Google API key to .env.local:

GOOGLE_API_KEY=...

Run

pnpm start

The example makes a single generateContent call and writes the session to ./recordings/ as a .flight file.

Code walkthrough

import { GoogleGenerativeAI } from "@google/generative-ai";
import {
  FlightRecorder,
  wrapGeminiModel,
  type GeminiModelLike,
} from "@ai-flight-recorder/sdk";
import { FileTransport } from "@ai-flight-recorder/sdk/node";

const fr = new FlightRecorder({
  transport: new FileTransport("./recordings"),
});

const genAI = new GoogleGenerativeAI(process.env.GOOGLE_API_KEY!);
const model = wrapGeminiModel(
  genAI.getGenerativeModel({ model: "gemini-1.5-pro" }) as unknown as GeminiModelLike,
  fr.recorder,
);

fr.startSession({ label: "gemini-example" });

const result = await model.generateContent("What is the capital of France?");
console.log(result.response.text());

fr.endSession();
// session saved to ./recordings/<sessionId>.flight

The as unknown as GeminiModelLike cast is required because the Gemini SDK’s GenerativeModel type doesn’t structurally match the adapter interface. See Adapters for an explanation.